Audible free book: http://www.audible.com/computerphile
Hashing Algorithms are used to ensure file authenticity, but how secure are they and why do they keep changing? Tom Scott hashes it out.
More from Tom Scott: http://www.youtube.com/user/enyay and https://twitter.com/tomscott
http://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
PigeonSound Effects courtesy of http://www.freesfx.co.uk/
Computerphile is a sister project to Brady Haran's Numberphile. See the full list of Brady's video projects at: http://bit.ly/bradychannels

Some algorithms are pretty inconsistent with their time complexities, making analysis difficult. Amortized analysis gives us a convenient way of considering many operations at once so we can have a better picture of the algorithm's performance in the long run. Today, we study the basics of amortized analysis, and see how it can be applied!
= 0612 TV =
0612 TV is your one stop for general geekery! Learn about a variety of technology-related subjects, including Photography, General Computing, Audio/Video Production and Image Manipulation! Enjoy your stay, and don't hesitate to drop me a comment or a personal message to my inbox =) If you like my work, don't forget to subscribe!
If you're interested in showing monetary support, consider making a recurring donation at: http://patreon.com/lcc0612
Alternatively, you can send me a one-off payment via PayPal. Click on the "Business Enquiries" button to reveal the email address on this page: http://youtube.com/lcc0612/about
More about me: http://about.me/lcc0612
Official Twitter: http://twitter.com/0612tv
-----
Disclaimer: Please note that any information is provided on this channel in good faith, but I cannot guarantee 100% accuracy / correctness on all content. Contributors to this channel are not to be held responsible for any possible outcomes from your use of the information.

published:16 Nov 2016

views:14846

This Decision Tree algorithm in Machine Learning tutorial video will help you understand all the basics of Decision Tree along with what is Machine Learning, problems in Machine Learning, what is Decision Tree, advantages and disadvantages of Decision Tree, how Decision Tree algorithm works with solved examples and at the end we will implement a Decision Tree use case/ demo in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.
Below topics are covered in this Decision Tree Algorithm Tutorial:
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is Decision Tree? ( 06:29 )
5. What are the problems a Decision Tree Solves? ( 07:11 )
6. Advantages of Decision Tree ( 07:54 )
7. How does Decision Tree Work? ( 10:55 )
8. Use Case - Loan Repayment Prediction ( 14:32 )
What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1
Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube
To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube
#MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse
- - - - - - - -
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This MachineLearning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
- - - - - - -
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a CompoundAnnualGrowth Rate (CAGR) of 44.1% during the forecast period.
- - - - - -
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
- - - - - - -
Who should take this Machine Learning TrainingCourse?
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
- - - - - -
For more updates on courses and tips follow us on:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn
- Website: https://www.simplilearn.com
Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0

published:20 Mar 2018

views:27598

Supplement to the cryptocurrency video: How hard is it to find a 256-bit hash just by guessing and checking? What kind of computer would that take?
Cryptocurrency video: https://youtu.be/bBC-nXj3Ng4
Thread for Q&A questions: http://3b1b.co/questions
Several people have commented about how 2^256 would be the maximum number of attempts, not the average. This depends on the thing being attempted. If it's guessing a private key, you are correct, but for something like guessing which input to a hash function gives a desired output (as in bitcoin mining, for example), which is the kind of thing I had in mind here, 2^256 would indeed be the average number of attempts needed, at least for a true cryptographic hash function. Think of rolling a die until you get a 6, how many rolls do you need to make, on average?
Music by Vince Rubinetti:
https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
------------------
3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that).
If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended
Various social media stuffs:
Website: https://www.3blue1brown.com
Twitter: https://twitter.com/3Blue1Brown
Patreon: https://patreon.com/3blue1brown
Facebook: https://www.facebook.com/3blue1brown
Reddit: https://www.reddit.com/r/3Blue1Brown

published:08 Jul 2017

views:921476

Mash
Invoice and instalments.
The easy way to pay.
You can pay an invoice as a one-time fee or in instalments.
Pay flexibly.
Choose the payment period that is right for you.
Select Mash at the payment terminal.
You will receive an invoice delivered at your home and 14 days of payment time without interest.
You can easily switch an invoice to an instalment payment.
See how much you can shop with Mash:
1. Send a free sms with the text: K YOURSOCIALSECURITYNUMBER POSTCODE to 16209.
2. The free return message tells you the amount of Mash shopping money.
3. You can shop immediately.
The amount is immediately available to you.
Get your purchases straight away.
Pay back later.
---
Mash has been at the forefront of FinTech innovation since 2007. We leverage our advanced proprietary algorithms, machine learning capabilities and automated platform to deliver superior finance and payments solutions to thousands of customers every day. We work hard for a future powered by technology, making every transaction seamless, flexible and worry-free. Today, Mash is one of Europe’s leading FinTech companies.

published:16 Nov 2017

views:9626

In this video, we'll see how hackers really crack passwords.
This video is edited with Filmora video editor, get it here : https://goo.gl/RtmNC5
DISCLAIMER : This video is intended only to educate people about how hackers crack passwords, and how important the strength of the password is, when coming to security.
If you are using a common password like test123456 which I used in the video, then the hacker will easily be able to know the plain text form of your password from the hash string. There is something known as Rainbow tables. These rainbow tables contain the password hashes of numerous commonly used passwords.
So the hacker will be to do a simple search with the password hash that he has, and if the password hash exists in the rainbow table, then that means the password is successfully cracked, and we have the password in a plain text. Remember that rainbow tables contain the password hashes of only the passwords which are commonly used.
As a reference, you can go to https://crackstation.net/
If the password is not a commonly used password, then there comes dictionary attack and brute force attack.
In dictionary attack, you have a wordlist. A wordlist is nothing but a huge text file with loads of passwords. In this attack, the hacker writes a code which compares the password hash to be cracked, with the password hash of each and every password that exists in the wordlist. Now, this attack can be target-specific as well. which means we can build a wordlist targeting an individual provided that we know some basic details about him/her.
In a brute force attack, each and every combination of letters ,symbols and numbers are converted into their hash forms, and are then compared with the hash to be cracked. This is a more expensive.
A new technique called salting is introduced by security analysts to give hackers a hard time in cracking passwords.
In this technique, a specific combination of characters are inserted at specific positions of the plain text password before hashing.
Every company has its own salting algorithm, and they don’t make their salting algorithm public
For example, kets say Facebook salting algorithm inserts the string f&2p at the beginning, after the third character, and at the end of the plain text password.
After salting the password, the salted password is then hashed by a hashing algorithm.
So when salting is used, rainbow tables are of no use even if the password to be cracked is a weak commonly used password. Because the hashe of the password without salting do not match the hash of the password which is salted
Also, brute force and dictionary attack are not effective to crack salted passwords unless the hacker already knows the salting algorithm employed by a company.
Visit my website : https://techraj156.com
Like my Facebook Page : https://fb.com/techraj156
Follow me on Instagram : https://instagram.com/teja.techraj
Follow on Twitter : https://twitter.com/techraj156
For written tutorials, visit my blog : http://blog.techraj156.com
SUBSCRIBE for more videos!
Thanks for watching!
Cheers!

published:09 May 2018

views:4307785

The convenience of peer-to-peer services is great. But are they safe? Consumer Reports reviewed five different P2P apps and shows you how to safeguard your money while using them.
Check out http://www.ConsumerReports.org for the latest reviews, tips, and recommendations and subscribe to our YouTube Channel: http://bit.ly/1Nlb1Ez
Follow Us on Social:
Facebook: http://on.fb.me/1IQ2w5q
Twitter: http://bit.ly/1Yf5Fh2
Pinterest: http://bit.ly/1P37mM9
Instagram: http://bit.ly/1I49Bzo
Vine: http://bit.ly/1Nlbkz7
Periscope: http://bit.ly/1OrsKrs
Google+: http://bit.ly/1Md3gfQ

Machine Learning (journal)

In 2001, forty editors and members of the editorial board of Machine Learning resigned in order to support the Journal of Machine Learning Research (JMLR), saying that in the era of the internet, it was detrimental for researchers to continue publishing their papers in expensive journals with pay-access archives. Instead, they wrote, they supported the model of JMLR, in which authors retained copyright over their papers and archives were freely available on the internet.

Overview

A decision tree is a flowchart-like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test and each leaf node represents a class label (decision taken after computing all attributes). The paths from root to leaf represents classification rules.

References

External links

Machine

A machine is a tool containing one or more parts that uses energy to perform an intended action. Machines are usually powered by mechanical, chemical, thermal, or electrical means, and are often motorized. Historically, a power tool also required moving parts to classify as a machine. However, the advent of electronics has led to the development of power tools without moving parts that are considered machines.

Artension

History

It was sometime in '92/'93, when Vitalij Kuprij, who was studying classical music in Switzerland at that time, met Roger Staffelbach, a Swiss guitarist who was also studying at the Jazz School in Lucerne.

They soon founded their band "Atlantis Rising", which played several instrumental gigs in Switzerland. After having recorded some demos, they got in touch with Mike Varney of Shrapnel Records, who showed great interest in the band but suggested to add some vocal lines to their songs.

Vitalij had already known stunning drummer Mike Terrana from one of Yngwie Malmsteen's tours. His friend, bassist Kevin Chown, also joined the band and enriched their sound with solid experience and great musicianship, and Artension was born.

Mike Varney introduced Vitalij and Roger to several musicians, one of them being John West, whose soaring vocals, along with Vitalij's and Roger's lightning-fast solos, became the trademark for Artension's neo-classical and aggressive music.

Hashing Algorithms and Security - Computerphile

Audible free book: http://www.audible.com/computerphile
Hashing Algorithms are used to ensure file authenticity, but how secure are they and why do they keep changing? Tom Scott hashes it out.
More from Tom Scott: http://www.youtube.com/user/enyay and https://twitter.com/tomscott
http://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
PigeonSound Effects courtesy of http://www.freesfx.co.uk/
Computerphile is a sister project to Brady Haran's Numberphile. See the full list of Brady's video projects at: http://bit.ly/bradychannels

Amortized Analysis

Some algorithms are pretty inconsistent with their time complexities, making analysis difficult. Amortized analysis gives us a convenient way of considering many operations at once so we can have a better picture of the algorithm's performance in the long run. Today, we study the basics of amortized analysis, and see how it can be applied!
= 0612 TV =
0612 TV is your one stop for general geekery! Learn about a variety of technology-related subjects, including Photography, General Computing, Audio/Video Production and Image Manipulation! Enjoy your stay, and don't hesitate to drop me a comment or a personal message to my inbox =) If you like my work, don't forget to subscribe!
If you're interested in showing monetary support, consider making a recurring donation at: http://patreon.com/lcc0612
Alternatively, you can send me a one-off payment via PayPal. Click on the "Business Enquiries" button to reveal the email address on this page: http://youtube.com/lcc0612/about
More about me: http://about.me/lcc0612
Official Twitter: http://twitter.com/0612tv
-----
Disclaimer: Please note that any information is provided on this channel in good faith, but I cannot guarantee 100% accuracy / correctness on all content. Contributors to this channel are not to be held responsible for any possible outcomes from your use of the information.

This Decision Tree algorithm in Machine Learning tutorial video will help you understand all the basics of Decision Tree along with what is Machine Learning, problems in Machine Learning, what is Decision Tree, advantages and disadvantages of Decision Tree, how Decision Tree algorithm works with solved examples and at the end we will implement a Decision Tree use case/ demo in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.
Below topics are covered in this Decision Tree Algorithm Tutorial:
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is Decision Tree? ( 06:29 )
5. What are the problems a Decision Tree Solves? ( 07:11 )
6. Advantages of Decision Tree ( 07:54 )
7. How does Decision Tree Work? ( 10:55 )
8. Use Case - Loan Repayment Prediction ( 14:32 )
What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1
Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube
To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube
#MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse
- - - - - - - -
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This MachineLearning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
- - - - - - -
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a CompoundAnnualGrowth Rate (CAGR) of 44.1% during the forecast period.
- - - - - -
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
- - - - - - -
Who should take this Machine Learning TrainingCourse?
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
- - - - - -
For more updates on courses and tips follow us on:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn
- Website: https://www.simplilearn.com
Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0

5:06

How secure is 256 bit security?

How secure is 256 bit security?

How secure is 256 bit security?

Supplement to the cryptocurrency video: How hard is it to find a 256-bit hash just by guessing and checking? What kind of computer would that take?
Cryptocurrency video: https://youtu.be/bBC-nXj3Ng4
Thread for Q&A questions: http://3b1b.co/questions
Several people have commented about how 2^256 would be the maximum number of attempts, not the average. This depends on the thing being attempted. If it's guessing a private key, you are correct, but for something like guessing which input to a hash function gives a desired output (as in bitcoin mining, for example), which is the kind of thing I had in mind here, 2^256 would indeed be the average number of attempts needed, at least for a true cryptographic hash function. Think of rolling a die until you get a 6, how many rolls do you need to make, on average?
Music by Vince Rubinetti:
https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
------------------
3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that).
If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended
Various social media stuffs:
Website: https://www.3blue1brown.com
Twitter: https://twitter.com/3Blue1Brown
Patreon: https://patreon.com/3blue1brown
Facebook: https://www.facebook.com/3blue1brown
Reddit: https://www.reddit.com/r/3Blue1Brown

1:11

Introducing Mash

Introducing Mash

Introducing Mash

Mash
Invoice and instalments.
The easy way to pay.
You can pay an invoice as a one-time fee or in instalments.
Pay flexibly.
Choose the payment period that is right for you.
Select Mash at the payment terminal.
You will receive an invoice delivered at your home and 14 days of payment time without interest.
You can easily switch an invoice to an instalment payment.
See how much you can shop with Mash:
1. Send a free sms with the text: K YOURSOCIALSECURITYNUMBER POSTCODE to 16209.
2. The free return message tells you the amount of Mash shopping money.
3. You can shop immediately.
The amount is immediately available to you.
Get your purchases straight away.
Pay back later.
---
Mash has been at the forefront of FinTech innovation since 2007. We leverage our advanced proprietary algorithms, machine learning capabilities and automated platform to deliver superior finance and payments solutions to thousands of customers every day. We work hard for a future powered by technology, making every transaction seamless, flexible and worry-free. Today, Mash is one of Europe’s leading FinTech companies.

5:44

This is How Hackers Crack Passwords!

This is How Hackers Crack Passwords!

This is How Hackers Crack Passwords!

In this video, we'll see how hackers really crack passwords.
This video is edited with Filmora video editor, get it here : https://goo.gl/RtmNC5
DISCLAIMER : This video is intended only to educate people about how hackers crack passwords, and how important the strength of the password is, when coming to security.
If you are using a common password like test123456 which I used in the video, then the hacker will easily be able to know the plain text form of your password from the hash string. There is something known as Rainbow tables. These rainbow tables contain the password hashes of numerous commonly used passwords.
So the hacker will be to do a simple search with the password hash that he has, and if the password hash exists in the rainbow table, then that means the password is successfully cracked, and we have the password in a plain text. Remember that rainbow tables contain the password hashes of only the passwords which are commonly used.
As a reference, you can go to https://crackstation.net/
If the password is not a commonly used password, then there comes dictionary attack and brute force attack.
In dictionary attack, you have a wordlist. A wordlist is nothing but a huge text file with loads of passwords. In this attack, the hacker writes a code which compares the password hash to be cracked, with the password hash of each and every password that exists in the wordlist. Now, this attack can be target-specific as well. which means we can build a wordlist targeting an individual provided that we know some basic details about him/her.
In a brute force attack, each and every combination of letters ,symbols and numbers are converted into their hash forms, and are then compared with the hash to be cracked. This is a more expensive.
A new technique called salting is introduced by security analysts to give hackers a hard time in cracking passwords.
In this technique, a specific combination of characters are inserted at specific positions of the plain text password before hashing.
Every company has its own salting algorithm, and they don’t make their salting algorithm public
For example, kets say Facebook salting algorithm inserts the string f&2p at the beginning, after the third character, and at the end of the plain text password.
After salting the password, the salted password is then hashed by a hashing algorithm.
So when salting is used, rainbow tables are of no use even if the password to be cracked is a weak commonly used password. Because the hashe of the password without salting do not match the hash of the password which is salted
Also, brute force and dictionary attack are not effective to crack salted passwords unless the hacker already knows the salting algorithm employed by a company.
Visit my website : https://techraj156.com
Like my Facebook Page : https://fb.com/techraj156
Follow me on Instagram : https://instagram.com/teja.techraj
Follow on Twitter : https://twitter.com/techraj156
For written tutorials, visit my blog : http://blog.techraj156.com
SUBSCRIBE for more videos!
Thanks for watching!
Cheers!

The convenience of peer-to-peer services is great. But are they safe? Consumer Reports reviewed five different P2P apps and shows you how to safeguard your money while using them.
Check out http://www.ConsumerReports.org for the latest reviews, tips, and recommendations and subscribe to our YouTube Channel: http://bit.ly/1Nlb1Ez
Follow Us on Social:
Facebook: http://on.fb.me/1IQ2w5q
Twitter: http://bit.ly/1Yf5Fh2
Pinterest: http://bit.ly/1P37mM9
Instagram: http://bit.ly/1I49Bzo
Vine: http://bit.ly/1Nlbkz7
Periscope: http://bit.ly/1OrsKrs
Google+: http://bit.ly/1Md3gfQ

This playlist/video has been uploaded for Marketing purposes and contains only selective videos.
For the entire video course and code, visit [http://bit.ly/2eZbdPP].
Demonstrate how to build, evaluate and compare different classification models for predicting credit card default and use the best model to make predictions.
• Introduce, load and prepare data for modeling
• Show how to build different classification models
• Show how to evaluate models and use the best to make predictions
For the latest Big Data and Business Intelligence video tutorials, please visit
http://bit.ly/1HCjJik
Find us on Facebook -- http://www.facebook.com/Packtvideo
Follow us on Twitter - http://www.twitter.com/packtvideo

11:31

Complete Freelancer Payment Matrix

Complete Freelancer Payment Matrix

Complete Freelancer Payment Matrix

Learn web development fast: https://shop.killervideostore.com/
Setting up a smart payment matrix is soooo important for freelancers. In this video, I give a few cool tips that you will find so useful, that you will insist on buying me a burger.
Learn Python 3 fast: http://www.killervideostore.com/python/
Complete Entrepreneur Course: https://goo.gl/kpVUD2
My Instagram: https://www.instagram.com/stefanmischook/?hl=en
Thanks!
Stef

Hashing Algorithms and Security - Computerphile

Audible free book: http://www.audible.com/computerphile
Hashing Algorithms are used to ensure file authenticity, but how secure are they and why do they keep changing? Tom Scott hashes it out.
More from Tom Scott: http://www.youtube.com/user/enyay and https://twitter.com/tomscott
http://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
PigeonSound Effects courtesy of http://www.freesfx.co.uk/
Computerphile is a sister project to Brady Haran's Numberphile. See the full list of Brady's video projects at: http://bit.ly/bradychannels

published: 08 Nov 2013

raymonds algorithms

SampleNotes :https://goo.gl/fkHZZ1
PDSNOTESFORM :https://goo.gl/AmzHVA
For full notes of PDS its only 200 rs
payment options is PAYTM :7038604912
once we get payment notification we will mail you the notes on your email id
thanx you so much last moment tuitions ko itna support karne ko even you can join us on whatsapp for getting latest update of videos + some motivation speeeches everyday have a nice day
connect us on whatsapp for latest update of videos + motivation and inspiration speech
whatsapp :7038604912
CHECK OUT ALL THE VIDEOS OF
PARALLEL COMPUTING AND DISTRIBUTED SYSTEM
INTRODUCTION:-https://goo.gl/j4Mzn6
FLYNN's Classification:-https://goo.gl/2Jx5QX
FENG's Classifications:-https://goo.gl/3625Tb
Amdahl's Law:-https://goo.gl/T8rMnL
Pipeline concept:-https://goo.gl/...

Bully and Ring Election algorithm in Distributed System in Hindi

SampleNotes :https://goo.gl/fkHZZ1
PDSNOTESFORM :https://goo.gl/AmzHVA
For full notes of PDS its only 200 rs
payment options is PAYTM :7038604912
once we get payment notification we will mail you the notes on your email id
thanx you so much last moment tuitions ko itna support karne ko even you can join us on whatsapp for getting latest update of videos + some motivation speeeches everyday have a nice day
connect us on whatsapp for latest update of videos + motivation and inspiration speech
whatsapp :7038604912
CHECK OUT ALL THE VIDEOS OF
PARALLEL COMPUTING AND DISTRIBUTED SYSTEM
INTRODUCTION:-https://goo.gl/j4Mzn6
FLYNN's Classification:-https://goo.gl/2Jx5QX
FENG's Classifications:-https://goo.gl/3625Tb
Amdahl's Law:-https://goo.gl/T8rMnL
Pipeline concept:-https://goo.gl/...

published: 13 Apr 2017

Amortized Analysis

Some algorithms are pretty inconsistent with their time complexities, making analysis difficult. Amortized analysis gives us a convenient way of considering many operations at once so we can have a better picture of the algorithm's performance in the long run. Today, we study the basics of amortized analysis, and see how it can be applied!
= 0612 TV =
0612 TV is your one stop for general geekery! Learn about a variety of technology-related subjects, including Photography, General Computing, Audio/Video Production and Image Manipulation! Enjoy your stay, and don't hesitate to drop me a comment or a personal message to my inbox =) If you like my work, don't forget to subscribe!
If you're interested in showing monetary support, consider making a recurring donation at: http://patreon.com/lcc...

This Decision Tree algorithm in Machine Learning tutorial video will help you understand all the basics of Decision Tree along with what is Machine Learning, problems in Machine Learning, what is Decision Tree, advantages and disadvantages of Decision Tree, how Decision Tree algorithm works with solved examples and at the end we will implement a Decision Tree use case/ demo in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.
Below topics are covered in this Decision Tree Algorithm Tutorial:
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is Decision Tree? ( 06:29 )
5. What are the problems a Deci...

published: 20 Mar 2018

How secure is 256 bit security?

Supplement to the cryptocurrency video: How hard is it to find a 256-bit hash just by guessing and checking? What kind of computer would that take?
Cryptocurrency video: https://youtu.be/bBC-nXj3Ng4
Thread for Q&A questions: http://3b1b.co/questions
Several people have commented about how 2^256 would be the maximum number of attempts, not the average. This depends on the thing being attempted. If it's guessing a private key, you are correct, but for something like guessing which input to a hash function gives a desired output (as in bitcoin mining, for example), which is the kind of thing I had in mind here, 2^256 would indeed be the average number of attempts needed, at least for a true cryptographic hash function. Think of rolling a die until you get a 6, how many rolls do you nee...

published: 08 Jul 2017

Introducing Mash

Mash
Invoice and instalments.
The easy way to pay.
You can pay an invoice as a one-time fee or in instalments.
Pay flexibly.
Choose the payment period that is right for you.
Select Mash at the payment terminal.
You will receive an invoice delivered at your home and 14 days of payment time without interest.
You can easily switch an invoice to an instalment payment.
See how much you can shop with Mash:
1. Send a free sms with the text: K YOURSOCIALSECURITYNUMBER POSTCODE to 16209.
2. The free return message tells you the amount of Mash shopping money.
3. You can shop immediately.
The amount is immediately available to you.
Get your purchases straight away.
Pay back later.
---
Mash has been at the forefront of FinTech innovation since 2007. We leverage our advanced proprietary algorith...

published: 16 Nov 2017

This is How Hackers Crack Passwords!

In this video, we'll see how hackers really crack passwords.
This video is edited with Filmora video editor, get it here : https://goo.gl/RtmNC5
DISCLAIMER : This video is intended only to educate people about how hackers crack passwords, and how important the strength of the password is, when coming to security.
If you are using a common password like test123456 which I used in the video, then the hacker will easily be able to know the plain text form of your password from the hash string. There is something known as Rainbow tables. These rainbow tables contain the password hashes of numerous commonly used passwords.
So the hacker will be to do a simple search with the password hash that he has, and if the password hash exists in the rainbow table, then that means the password is su...

The convenience of peer-to-peer services is great. But are they safe? Consumer Reports reviewed five different P2P apps and shows you how to safeguard your money while using them.
Check out http://www.ConsumerReports.org for the latest reviews, tips, and recommendations and subscribe to our YouTube Channel: http://bit.ly/1Nlb1Ez
Follow Us on Social:
Facebook: http://on.fb.me/1IQ2w5q
Twitter: http://bit.ly/1Yf5Fh2
Pinterest: http://bit.ly/1P37mM9
Instagram: http://bit.ly/1I49Bzo
Vine: http://bit.ly/1Nlbkz7
Periscope: http://bit.ly/1OrsKrs
Google+: http://bit.ly/1Md3gfQ

This playlist/video has been uploaded for Marketing purposes and contains only selective videos.
For the entire video course and code, visit [http://bit.ly/2eZbdPP].
Demonstrate how to build, evaluate and compare different classification models for predicting credit card default and use the best model to make predictions.
• Introduce, load and prepare data for modeling
• Show how to build different classification models
• Show how to evaluate models and use the best to make predictions
For the latest Big Data and Business Intelligence video tutorials, please visit
http://bit.ly/1HCjJik
Find us on Facebook -- http://www.facebook.com/Packtvideo
Follow us on Twitter - http://www.twitter.com/packtvideo

published: 05 Sep 2017

Complete Freelancer Payment Matrix

Learn web development fast: https://shop.killervideostore.com/
Setting up a smart payment matrix is soooo important for freelancers. In this video, I give a few cool tips that you will find so useful, that you will insist on buying me a burger.
Learn Python 3 fast: http://www.killervideostore.com/python/
Complete Entrepreneur Course: https://goo.gl/kpVUD2
My Instagram: https://www.instagram.com/stefanmischook/?hl=en
Thanks!
Stef

Hashing Algorithms and Security - Computerphile

Audible free book: http://www.audible.com/computerphile
Hashing Algorithms are used to ensure file authenticity, but how secure are they and why do they keep ch...

Audible free book: http://www.audible.com/computerphile
Hashing Algorithms are used to ensure file authenticity, but how secure are they and why do they keep changing? Tom Scott hashes it out.
More from Tom Scott: http://www.youtube.com/user/enyay and https://twitter.com/tomscott
http://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
PigeonSound Effects courtesy of http://www.freesfx.co.uk/
Computerphile is a sister project to Brady Haran's Numberphile. See the full list of Brady's video projects at: http://bit.ly/bradychannels

Audible free book: http://www.audible.com/computerphile
Hashing Algorithms are used to ensure file authenticity, but how secure are they and why do they keep changing? Tom Scott hashes it out.
More from Tom Scott: http://www.youtube.com/user/enyay and https://twitter.com/tomscott
http://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
PigeonSound Effects courtesy of http://www.freesfx.co.uk/
Computerphile is a sister project to Brady Haran's Numberphile. See the full list of Brady's video projects at: http://bit.ly/bradychannels

Amortized Analysis

Some algorithms are pretty inconsistent with their time complexities, making analysis difficult. Amortized analysis gives us a convenient way of considering man...

Some algorithms are pretty inconsistent with their time complexities, making analysis difficult. Amortized analysis gives us a convenient way of considering many operations at once so we can have a better picture of the algorithm's performance in the long run. Today, we study the basics of amortized analysis, and see how it can be applied!
= 0612 TV =
0612 TV is your one stop for general geekery! Learn about a variety of technology-related subjects, including Photography, General Computing, Audio/Video Production and Image Manipulation! Enjoy your stay, and don't hesitate to drop me a comment or a personal message to my inbox =) If you like my work, don't forget to subscribe!
If you're interested in showing monetary support, consider making a recurring donation at: http://patreon.com/lcc0612
Alternatively, you can send me a one-off payment via PayPal. Click on the "Business Enquiries" button to reveal the email address on this page: http://youtube.com/lcc0612/about
More about me: http://about.me/lcc0612
Official Twitter: http://twitter.com/0612tv
-----
Disclaimer: Please note that any information is provided on this channel in good faith, but I cannot guarantee 100% accuracy / correctness on all content. Contributors to this channel are not to be held responsible for any possible outcomes from your use of the information.

Some algorithms are pretty inconsistent with their time complexities, making analysis difficult. Amortized analysis gives us a convenient way of considering many operations at once so we can have a better picture of the algorithm's performance in the long run. Today, we study the basics of amortized analysis, and see how it can be applied!
= 0612 TV =
0612 TV is your one stop for general geekery! Learn about a variety of technology-related subjects, including Photography, General Computing, Audio/Video Production and Image Manipulation! Enjoy your stay, and don't hesitate to drop me a comment or a personal message to my inbox =) If you like my work, don't forget to subscribe!
If you're interested in showing monetary support, consider making a recurring donation at: http://patreon.com/lcc0612
Alternatively, you can send me a one-off payment via PayPal. Click on the "Business Enquiries" button to reveal the email address on this page: http://youtube.com/lcc0612/about
More about me: http://about.me/lcc0612
Official Twitter: http://twitter.com/0612tv
-----
Disclaimer: Please note that any information is provided on this channel in good faith, but I cannot guarantee 100% accuracy / correctness on all content. Contributors to this channel are not to be held responsible for any possible outcomes from your use of the information.

This Decision Tree algorithm in Machine Learning tutorial video will help you understand all the basics of Decision Tree along with what is Machine Learning, pr...

This Decision Tree algorithm in Machine Learning tutorial video will help you understand all the basics of Decision Tree along with what is Machine Learning, problems in Machine Learning, what is Decision Tree, advantages and disadvantages of Decision Tree, how Decision Tree algorithm works with solved examples and at the end we will implement a Decision Tree use case/ demo in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.
Below topics are covered in this Decision Tree Algorithm Tutorial:
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is Decision Tree? ( 06:29 )
5. What are the problems a Decision Tree Solves? ( 07:11 )
6. Advantages of Decision Tree ( 07:54 )
7. How does Decision Tree Work? ( 10:55 )
8. Use Case - Loan Repayment Prediction ( 14:32 )
What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1
Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube
To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube
#MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse
- - - - - - - -
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This MachineLearning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
- - - - - - -
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a CompoundAnnualGrowth Rate (CAGR) of 44.1% during the forecast period.
- - - - - -
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
- - - - - - -
Who should take this Machine Learning TrainingCourse?
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
- - - - - -
For more updates on courses and tips follow us on:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn
- Website: https://www.simplilearn.com
Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0

This Decision Tree algorithm in Machine Learning tutorial video will help you understand all the basics of Decision Tree along with what is Machine Learning, problems in Machine Learning, what is Decision Tree, advantages and disadvantages of Decision Tree, how Decision Tree algorithm works with solved examples and at the end we will implement a Decision Tree use case/ demo in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.
Below topics are covered in this Decision Tree Algorithm Tutorial:
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is Decision Tree? ( 06:29 )
5. What are the problems a Decision Tree Solves? ( 07:11 )
6. Advantages of Decision Tree ( 07:54 )
7. How does Decision Tree Work? ( 10:55 )
8. Use Case - Loan Repayment Prediction ( 14:32 )
What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1
Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube
To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube
#MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse
- - - - - - - -
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This MachineLearning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
- - - - - - -
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a CompoundAnnualGrowth Rate (CAGR) of 44.1% during the forecast period.
- - - - - -
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
- - - - - - -
Who should take this Machine Learning TrainingCourse?
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
- - - - - -
For more updates on courses and tips follow us on:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn
- Website: https://www.simplilearn.com
Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0

How secure is 256 bit security?

Supplement to the cryptocurrency video: How hard is it to find a 256-bit hash just by guessing and checking? What kind of computer would that take?
Cryptocurr...

Supplement to the cryptocurrency video: How hard is it to find a 256-bit hash just by guessing and checking? What kind of computer would that take?
Cryptocurrency video: https://youtu.be/bBC-nXj3Ng4
Thread for Q&A questions: http://3b1b.co/questions
Several people have commented about how 2^256 would be the maximum number of attempts, not the average. This depends on the thing being attempted. If it's guessing a private key, you are correct, but for something like guessing which input to a hash function gives a desired output (as in bitcoin mining, for example), which is the kind of thing I had in mind here, 2^256 would indeed be the average number of attempts needed, at least for a true cryptographic hash function. Think of rolling a die until you get a 6, how many rolls do you need to make, on average?
Music by Vince Rubinetti:
https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
------------------
3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that).
If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended
Various social media stuffs:
Website: https://www.3blue1brown.com
Twitter: https://twitter.com/3Blue1Brown
Patreon: https://patreon.com/3blue1brown
Facebook: https://www.facebook.com/3blue1brown
Reddit: https://www.reddit.com/r/3Blue1Brown

Supplement to the cryptocurrency video: How hard is it to find a 256-bit hash just by guessing and checking? What kind of computer would that take?
Cryptocurrency video: https://youtu.be/bBC-nXj3Ng4
Thread for Q&A questions: http://3b1b.co/questions
Several people have commented about how 2^256 would be the maximum number of attempts, not the average. This depends on the thing being attempted. If it's guessing a private key, you are correct, but for something like guessing which input to a hash function gives a desired output (as in bitcoin mining, for example), which is the kind of thing I had in mind here, 2^256 would indeed be the average number of attempts needed, at least for a true cryptographic hash function. Think of rolling a die until you get a 6, how many rolls do you need to make, on average?
Music by Vince Rubinetti:
https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
------------------
3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that).
If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended
Various social media stuffs:
Website: https://www.3blue1brown.com
Twitter: https://twitter.com/3Blue1Brown
Patreon: https://patreon.com/3blue1brown
Facebook: https://www.facebook.com/3blue1brown
Reddit: https://www.reddit.com/r/3Blue1Brown

Introducing Mash

Mash
Invoice and instalments.
The easy way to pay.
You can pay an invoice as a one-time fee or in instalments.
Pay flexibly.
Choose the payment period that is...

Mash
Invoice and instalments.
The easy way to pay.
You can pay an invoice as a one-time fee or in instalments.
Pay flexibly.
Choose the payment period that is right for you.
Select Mash at the payment terminal.
You will receive an invoice delivered at your home and 14 days of payment time without interest.
You can easily switch an invoice to an instalment payment.
See how much you can shop with Mash:
1. Send a free sms with the text: K YOURSOCIALSECURITYNUMBER POSTCODE to 16209.
2. The free return message tells you the amount of Mash shopping money.
3. You can shop immediately.
The amount is immediately available to you.
Get your purchases straight away.
Pay back later.
---
Mash has been at the forefront of FinTech innovation since 2007. We leverage our advanced proprietary algorithms, machine learning capabilities and automated platform to deliver superior finance and payments solutions to thousands of customers every day. We work hard for a future powered by technology, making every transaction seamless, flexible and worry-free. Today, Mash is one of Europe’s leading FinTech companies.

Mash
Invoice and instalments.
The easy way to pay.
You can pay an invoice as a one-time fee or in instalments.
Pay flexibly.
Choose the payment period that is right for you.
Select Mash at the payment terminal.
You will receive an invoice delivered at your home and 14 days of payment time without interest.
You can easily switch an invoice to an instalment payment.
See how much you can shop with Mash:
1. Send a free sms with the text: K YOURSOCIALSECURITYNUMBER POSTCODE to 16209.
2. The free return message tells you the amount of Mash shopping money.
3. You can shop immediately.
The amount is immediately available to you.
Get your purchases straight away.
Pay back later.
---
Mash has been at the forefront of FinTech innovation since 2007. We leverage our advanced proprietary algorithms, machine learning capabilities and automated platform to deliver superior finance and payments solutions to thousands of customers every day. We work hard for a future powered by technology, making every transaction seamless, flexible and worry-free. Today, Mash is one of Europe’s leading FinTech companies.

This is How Hackers Crack Passwords!

In this video, we'll see how hackers really crack passwords.
This video is edited with Filmora video editor, get it here : https://goo.gl/RtmNC5
DISCLAIMER :...

In this video, we'll see how hackers really crack passwords.
This video is edited with Filmora video editor, get it here : https://goo.gl/RtmNC5
DISCLAIMER : This video is intended only to educate people about how hackers crack passwords, and how important the strength of the password is, when coming to security.
If you are using a common password like test123456 which I used in the video, then the hacker will easily be able to know the plain text form of your password from the hash string. There is something known as Rainbow tables. These rainbow tables contain the password hashes of numerous commonly used passwords.
So the hacker will be to do a simple search with the password hash that he has, and if the password hash exists in the rainbow table, then that means the password is successfully cracked, and we have the password in a plain text. Remember that rainbow tables contain the password hashes of only the passwords which are commonly used.
As a reference, you can go to https://crackstation.net/
If the password is not a commonly used password, then there comes dictionary attack and brute force attack.
In dictionary attack, you have a wordlist. A wordlist is nothing but a huge text file with loads of passwords. In this attack, the hacker writes a code which compares the password hash to be cracked, with the password hash of each and every password that exists in the wordlist. Now, this attack can be target-specific as well. which means we can build a wordlist targeting an individual provided that we know some basic details about him/her.
In a brute force attack, each and every combination of letters ,symbols and numbers are converted into their hash forms, and are then compared with the hash to be cracked. This is a more expensive.
A new technique called salting is introduced by security analysts to give hackers a hard time in cracking passwords.
In this technique, a specific combination of characters are inserted at specific positions of the plain text password before hashing.
Every company has its own salting algorithm, and they don’t make their salting algorithm public
For example, kets say Facebook salting algorithm inserts the string f&2p at the beginning, after the third character, and at the end of the plain text password.
After salting the password, the salted password is then hashed by a hashing algorithm.
So when salting is used, rainbow tables are of no use even if the password to be cracked is a weak commonly used password. Because the hashe of the password without salting do not match the hash of the password which is salted
Also, brute force and dictionary attack are not effective to crack salted passwords unless the hacker already knows the salting algorithm employed by a company.
Visit my website : https://techraj156.com
Like my Facebook Page : https://fb.com/techraj156
Follow me on Instagram : https://instagram.com/teja.techraj
Follow on Twitter : https://twitter.com/techraj156
For written tutorials, visit my blog : http://blog.techraj156.com
SUBSCRIBE for more videos!
Thanks for watching!
Cheers!

In this video, we'll see how hackers really crack passwords.
This video is edited with Filmora video editor, get it here : https://goo.gl/RtmNC5
DISCLAIMER : This video is intended only to educate people about how hackers crack passwords, and how important the strength of the password is, when coming to security.
If you are using a common password like test123456 which I used in the video, then the hacker will easily be able to know the plain text form of your password from the hash string. There is something known as Rainbow tables. These rainbow tables contain the password hashes of numerous commonly used passwords.
So the hacker will be to do a simple search with the password hash that he has, and if the password hash exists in the rainbow table, then that means the password is successfully cracked, and we have the password in a plain text. Remember that rainbow tables contain the password hashes of only the passwords which are commonly used.
As a reference, you can go to https://crackstation.net/
If the password is not a commonly used password, then there comes dictionary attack and brute force attack.
In dictionary attack, you have a wordlist. A wordlist is nothing but a huge text file with loads of passwords. In this attack, the hacker writes a code which compares the password hash to be cracked, with the password hash of each and every password that exists in the wordlist. Now, this attack can be target-specific as well. which means we can build a wordlist targeting an individual provided that we know some basic details about him/her.
In a brute force attack, each and every combination of letters ,symbols and numbers are converted into their hash forms, and are then compared with the hash to be cracked. This is a more expensive.
A new technique called salting is introduced by security analysts to give hackers a hard time in cracking passwords.
In this technique, a specific combination of characters are inserted at specific positions of the plain text password before hashing.
Every company has its own salting algorithm, and they don’t make their salting algorithm public
For example, kets say Facebook salting algorithm inserts the string f&2p at the beginning, after the third character, and at the end of the plain text password.
After salting the password, the salted password is then hashed by a hashing algorithm.
So when salting is used, rainbow tables are of no use even if the password to be cracked is a weak commonly used password. Because the hashe of the password without salting do not match the hash of the password which is salted
Also, brute force and dictionary attack are not effective to crack salted passwords unless the hacker already knows the salting algorithm employed by a company.
Visit my website : https://techraj156.com
Like my Facebook Page : https://fb.com/techraj156
Follow me on Instagram : https://instagram.com/teja.techraj
Follow on Twitter : https://twitter.com/techraj156
For written tutorials, visit my blog : http://blog.techraj156.com
SUBSCRIBE for more videos!
Thanks for watching!
Cheers!

The convenience of peer-to-peer services is great. But are they safe? Consumer Reports reviewed five different P2P apps and shows you how to safeguard your mone...

The convenience of peer-to-peer services is great. But are they safe? Consumer Reports reviewed five different P2P apps and shows you how to safeguard your money while using them.
Check out http://www.ConsumerReports.org for the latest reviews, tips, and recommendations and subscribe to our YouTube Channel: http://bit.ly/1Nlb1Ez
Follow Us on Social:
Facebook: http://on.fb.me/1IQ2w5q
Twitter: http://bit.ly/1Yf5Fh2
Pinterest: http://bit.ly/1P37mM9
Instagram: http://bit.ly/1I49Bzo
Vine: http://bit.ly/1Nlbkz7
Periscope: http://bit.ly/1OrsKrs
Google+: http://bit.ly/1Md3gfQ

The convenience of peer-to-peer services is great. But are they safe? Consumer Reports reviewed five different P2P apps and shows you how to safeguard your money while using them.
Check out http://www.ConsumerReports.org for the latest reviews, tips, and recommendations and subscribe to our YouTube Channel: http://bit.ly/1Nlb1Ez
Follow Us on Social:
Facebook: http://on.fb.me/1IQ2w5q
Twitter: http://bit.ly/1Yf5Fh2
Pinterest: http://bit.ly/1P37mM9
Instagram: http://bit.ly/1I49Bzo
Vine: http://bit.ly/1Nlbkz7
Periscope: http://bit.ly/1OrsKrs
Google+: http://bit.ly/1Md3gfQ

This playlist/video has been uploaded for Marketing purposes and contains only selective videos.
For the entire video course and code, visit [http://bit.ly/2e...

This playlist/video has been uploaded for Marketing purposes and contains only selective videos.
For the entire video course and code, visit [http://bit.ly/2eZbdPP].
Demonstrate how to build, evaluate and compare different classification models for predicting credit card default and use the best model to make predictions.
• Introduce, load and prepare data for modeling
• Show how to build different classification models
• Show how to evaluate models and use the best to make predictions
For the latest Big Data and Business Intelligence video tutorials, please visit
http://bit.ly/1HCjJik
Find us on Facebook -- http://www.facebook.com/Packtvideo
Follow us on Twitter - http://www.twitter.com/packtvideo

This playlist/video has been uploaded for Marketing purposes and contains only selective videos.
For the entire video course and code, visit [http://bit.ly/2eZbdPP].
Demonstrate how to build, evaluate and compare different classification models for predicting credit card default and use the best model to make predictions.
• Introduce, load and prepare data for modeling
• Show how to build different classification models
• Show how to evaluate models and use the best to make predictions
For the latest Big Data and Business Intelligence video tutorials, please visit
http://bit.ly/1HCjJik
Find us on Facebook -- http://www.facebook.com/Packtvideo
Follow us on Twitter - http://www.twitter.com/packtvideo

Complete Freelancer Payment Matrix

Learn web development fast: https://shop.killervideostore.com/
Setting up a smart payment matrix is soooo important for freelancers. In this video, I give a fe...

Learn web development fast: https://shop.killervideostore.com/
Setting up a smart payment matrix is soooo important for freelancers. In this video, I give a few cool tips that you will find so useful, that you will insist on buying me a burger.
Learn Python 3 fast: http://www.killervideostore.com/python/
Complete Entrepreneur Course: https://goo.gl/kpVUD2
My Instagram: https://www.instagram.com/stefanmischook/?hl=en
Thanks!
Stef

Learn web development fast: https://shop.killervideostore.com/
Setting up a smart payment matrix is soooo important for freelancers. In this video, I give a few cool tips that you will find so useful, that you will insist on buying me a burger.
Learn Python 3 fast: http://www.killervideostore.com/python/
Complete Entrepreneur Course: https://goo.gl/kpVUD2
My Instagram: https://www.instagram.com/stefanmischook/?hl=en
Thanks!
Stef

Hashing Algorithms and Security - Computerphile

Audible free book: http://www.audible.com/computerphile
Hashing Algorithms are used to ensure file authenticity, but how secure are they and why do they keep changing? Tom Scott hashes it out.
More from Tom Scott: http://www.youtube.com/user/enyay and https://twitter.com/tomscott
http://www.facebook.com/computerphile
https://twitter.com/computer_phile
This video was filmed and edited by Sean Riley.
PigeonSound Effects courtesy of http://www.freesfx.co.uk/
Computerphile is a sister project to Brady Haran's Numberphile. See the full list of Brady's video projects at: http://bit.ly/bradychannels

Amortized Analysis

Some algorithms are pretty inconsistent with their time complexities, making analysis difficult. Amortized analysis gives us a convenient way of considering many operations at once so we can have a better picture of the algorithm's performance in the long run. Today, we study the basics of amortized analysis, and see how it can be applied!
= 0612 TV =
0612 TV is your one stop for general geekery! Learn about a variety of technology-related subjects, including Photography, General Computing, Audio/Video Production and Image Manipulation! Enjoy your stay, and don't hesitate to drop me a comment or a personal message to my inbox =) If you like my work, don't forget to subscribe!
If you're interested in showing monetary support, consider making a recurring donation at: http://patreon.com/lcc0612
Alternatively, you can send me a one-off payment via PayPal. Click on the "Business Enquiries" button to reveal the email address on this page: http://youtube.com/lcc0612/about
More about me: http://about.me/lcc0612
Official Twitter: http://twitter.com/0612tv
-----
Disclaimer: Please note that any information is provided on this channel in good faith, but I cannot guarantee 100% accuracy / correctness on all content. Contributors to this channel are not to be held responsible for any possible outcomes from your use of the information.

This Decision Tree algorithm in Machine Learning tutorial video will help you understand all the basics of Decision Tree along with what is Machine Learning, problems in Machine Learning, what is Decision Tree, advantages and disadvantages of Decision Tree, how Decision Tree algorithm works with solved examples and at the end we will implement a Decision Tree use case/ demo in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.
Below topics are covered in this Decision Tree Algorithm Tutorial:
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is Decision Tree? ( 06:29 )
5. What are the problems a Decision Tree Solves? ( 07:11 )
6. Advantages of Decision Tree ( 07:54 )
7. How does Decision Tree Work? ( 10:55 )
8. Use Case - Loan Repayment Prediction ( 14:32 )
What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/Simplilearn?sub_confirmation=1
Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube
To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube
#MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse
- - - - - - - -
About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This MachineLearning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.
- - - - - - -
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a CompoundAnnualGrowth Rate (CAGR) of 44.1% during the forecast period.
- - - - - -
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
- - - - - - -
Who should take this Machine Learning TrainingCourse?
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
- - - - - -
For more updates on courses and tips follow us on:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn
- Website: https://www.simplilearn.com
Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0

How secure is 256 bit security?

Supplement to the cryptocurrency video: How hard is it to find a 256-bit hash just by guessing and checking? What kind of computer would that take?
Cryptocurrency video: https://youtu.be/bBC-nXj3Ng4
Thread for Q&A questions: http://3b1b.co/questions
Several people have commented about how 2^256 would be the maximum number of attempts, not the average. This depends on the thing being attempted. If it's guessing a private key, you are correct, but for something like guessing which input to a hash function gives a desired output (as in bitcoin mining, for example), which is the kind of thing I had in mind here, 2^256 would indeed be the average number of attempts needed, at least for a true cryptographic hash function. Think of rolling a die until you get a 6, how many rolls do you need to make, on average?
Music by Vince Rubinetti:
https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
------------------
3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that).
If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended
Various social media stuffs:
Website: https://www.3blue1brown.com
Twitter: https://twitter.com/3Blue1Brown
Patreon: https://patreon.com/3blue1brown
Facebook: https://www.facebook.com/3blue1brown
Reddit: https://www.reddit.com/r/3Blue1Brown

Introducing Mash

Mash
Invoice and instalments.
The easy way to pay.
You can pay an invoice as a one-time fee or in instalments.
Pay flexibly.
Choose the payment period that is right for you.
Select Mash at the payment terminal.
You will receive an invoice delivered at your home and 14 days of payment time without interest.
You can easily switch an invoice to an instalment payment.
See how much you can shop with Mash:
1. Send a free sms with the text: K YOURSOCIALSECURITYNUMBER POSTCODE to 16209.
2. The free return message tells you the amount of Mash shopping money.
3. You can shop immediately.
The amount is immediately available to you.
Get your purchases straight away.
Pay back later.
---
Mash has been at the forefront of FinTech innovation since 2007. We leverage our advanced proprietary algorithms, machine learning capabilities and automated platform to deliver superior finance and payments solutions to thousands of customers every day. We work hard for a future powered by technology, making every transaction seamless, flexible and worry-free. Today, Mash is one of Europe’s leading FinTech companies.

This is How Hackers Crack Passwords!

In this video, we'll see how hackers really crack passwords.
This video is edited with Filmora video editor, get it here : https://goo.gl/RtmNC5
DISCLAIMER : This video is intended only to educate people about how hackers crack passwords, and how important the strength of the password is, when coming to security.
If you are using a common password like test123456 which I used in the video, then the hacker will easily be able to know the plain text form of your password from the hash string. There is something known as Rainbow tables. These rainbow tables contain the password hashes of numerous commonly used passwords.
So the hacker will be to do a simple search with the password hash that he has, and if the password hash exists in the rainbow table, then that means the password is successfully cracked, and we have the password in a plain text. Remember that rainbow tables contain the password hashes of only the passwords which are commonly used.
As a reference, you can go to https://crackstation.net/
If the password is not a commonly used password, then there comes dictionary attack and brute force attack.
In dictionary attack, you have a wordlist. A wordlist is nothing but a huge text file with loads of passwords. In this attack, the hacker writes a code which compares the password hash to be cracked, with the password hash of each and every password that exists in the wordlist. Now, this attack can be target-specific as well. which means we can build a wordlist targeting an individual provided that we know some basic details about him/her.
In a brute force attack, each and every combination of letters ,symbols and numbers are converted into their hash forms, and are then compared with the hash to be cracked. This is a more expensive.
A new technique called salting is introduced by security analysts to give hackers a hard time in cracking passwords.
In this technique, a specific combination of characters are inserted at specific positions of the plain text password before hashing.
Every company has its own salting algorithm, and they don’t make their salting algorithm public
For example, kets say Facebook salting algorithm inserts the string f&2p at the beginning, after the third character, and at the end of the plain text password.
After salting the password, the salted password is then hashed by a hashing algorithm.
So when salting is used, rainbow tables are of no use even if the password to be cracked is a weak commonly used password. Because the hashe of the password without salting do not match the hash of the password which is salted
Also, brute force and dictionary attack are not effective to crack salted passwords unless the hacker already knows the salting algorithm employed by a company.
Visit my website : https://techraj156.com
Like my Facebook Page : https://fb.com/techraj156
Follow me on Instagram : https://instagram.com/teja.techraj
Follow on Twitter : https://twitter.com/techraj156
For written tutorials, visit my blog : http://blog.techraj156.com
SUBSCRIBE for more videos!
Thanks for watching!
Cheers!

The convenience of peer-to-peer services is great. But are they safe? Consumer Reports reviewed five different P2P apps and shows you how to safeguard your money while using them.
Check out http://www.ConsumerReports.org for the latest reviews, tips, and recommendations and subscribe to our YouTube Channel: http://bit.ly/1Nlb1Ez
Follow Us on Social:
Facebook: http://on.fb.me/1IQ2w5q
Twitter: http://bit.ly/1Yf5Fh2
Pinterest: http://bit.ly/1P37mM9
Instagram: http://bit.ly/1I49Bzo
Vine: http://bit.ly/1Nlbkz7
Periscope: http://bit.ly/1OrsKrs
Google+: http://bit.ly/1Md3gfQ

This playlist/video has been uploaded for Marketing purposes and contains only selective videos.
For the entire video course and code, visit [http://bit.ly/2eZbdPP].
Demonstrate how to build, evaluate and compare different classification models for predicting credit card default and use the best model to make predictions.
• Introduce, load and prepare data for modeling
• Show how to build different classification models
• Show how to evaluate models and use the best to make predictions
For the latest Big Data and Business Intelligence video tutorials, please visit
http://bit.ly/1HCjJik
Find us on Facebook -- http://www.facebook.com/Packtvideo
Follow us on Twitter - http://www.twitter.com/packtvideo

Complete Freelancer Payment Matrix

Learn web development fast: https://shop.killervideostore.com/
Setting up a smart payment matrix is soooo important for freelancers. In this video, I give a few cool tips that you will find so useful, that you will insist on buying me a burger.
Learn Python 3 fast: http://www.killervideostore.com/python/
Complete Entrepreneur Course: https://goo.gl/kpVUD2
My Instagram: https://www.instagram.com/stefanmischook/?hl=en
Thanks!
Stef